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The goal of this paper is to present the efficiency and performance of a new ternary energy storage model in the competitive electricity market. Using the state-of-the-art mixed-integer progamming technique, the new energy storage model can be explicitly cast as ternary states: (−1) PUMP, (0) OFF, and (1) GEN to represent the physical energy storage constraints and desired operating parameters in...
This paper presents a closed-loop model in which commercial building aggregators (CBAs) minimize their operating costs in a wholesale electricity market, considering wind power uncertainties that are modeled as contingencies using a set of forecast error scenarios. Specifically, the CBAs determine the optimal energy consumption and reserve deployment of variable speed heat pumps (VSHPs) and plug-in...
This paper proposed optimal placement of the energy storage units within a deregulated power system to diminish its hourly cost. Wind generation and load are modeled using actual data approach. Based on a model of the electricity market, we diminish the hourly communal cost using probabilistic optimal power flow (POPF) then use an Improved Adaptive Genetic Algorithm (IAGA) to exploit wind power utilization...
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